# Copyright 2023 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""TensorFlow Transform preprocessing function."""

import tensorflow_transform as tft


def preprocessing_fn(inputs):
    output_dict = {
        'Amount': tft.scale_to_z_score(inputs['Amount']),
        'Class': inputs['Class']
    }
    
    # Let's normalize all the columns that start with V
    for col in inputs.keys():
        if col.startswith("V"):
            output_dict[col] = tft.scale_to_z_score(inputs[col])

    return output_dict